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1. 发明申请

US20110055285A1 INFORMATION EXTRACTION COMBINING SPATIAL AND TEXTUAL LAYOUT CUES 有权
标题翻译：信息提取组合空间和文本布局CUES
公开(公告)号：US20110055285A1
公开(公告)日：2011-03-03
申请号：US12546925
申请日：2009-08-25
申请人： Vijil Enara Chenthamarakshan , Prasad Manikarao Deshpande , Raghuram Krishnapuram , Ramakrishna Varadarajan
发明人： Vijil Enara Chenthamarakshan , Prasad Manikarao Deshpande , Raghuram Krishnapuram , Ramakrishna Varadarajan
IPC分类号： G06F17/00 , G06F17/30
CPC分类号： G06F17/30864
摘要： Techniques for extracting information from a formatted document are provided. The techniques include combining one or more visual layout rules, one or more mark-up rules and one or more text-based rules in connection with a formatted document, and specifying one or more rules from the one or more visual layout rules, one or more mark-up rules and one or more text based rules to extract information from the formatted document.
摘要翻译：提供了从格式化文档中提取信息的技术。这些技术包括组合一个或多个视觉布局规则，一个或多个标记规则和与格式化文档相关联的一个或多个基于文本的规则，以及从一个或多个视觉布局规则指定一个或多个规则，一个或多个更多的标记规则和一个或多个基于文本的规则从格式化的文档中提取信息。

2. 发明授权

US08205153B2 Information extraction combining spatial and textual layout cues 有权
标题翻译：信息抽取结合空间和文本布局线索
公开(公告)号：US08205153B2
公开(公告)日：2012-06-19
申请号：US12546925
申请日：2009-08-25
申请人： Vijil Enara Chenthamarakshan , Prasad Manikarao Deshpande , Raghuram Krishnapuram , Ramakrishna Varadarajan
发明人： Vijil Enara Chenthamarakshan , Prasad Manikarao Deshpande , Raghuram Krishnapuram , Ramakrishna Varadarajan
IPC分类号： G06F17/00
CPC分类号： G06F17/30864
摘要： Techniques for extracting information from a formatted document are provided. The techniques include combining one or more visual layout rules, one or more mark-up rules and one or more text-based rules in connection with a formatted document, and specifying one or more rules from the one or more visual layout rules, one or more mark-up rules and one or more text based rules to extract information from the formatted document.
摘要翻译：提供了从格式化文档中提取信息的技术。这些技术包括组合一个或多个视觉布局规则，一个或多个标记规则和与格式化文档相关联的一个或多个基于文本的规则，以及从一个或多个视觉布局规则指定一个或多个规则，一个或多个更多的标记规则和一个或多个基于文本的规则从格式化的文档中提取信息。

3. 发明授权

US09563434B2 Mining dependencies from disk images 有权
标题翻译：从磁盘映像挖掘依赖关系
公开(公告)号：US09563434B2
公开(公告)日：2017-02-07
申请号：US12698733
申请日：2010-02-02
申请人： Rema Ananthanarayanan , Vinatha Chaturvedi , Vijil E. Chenthamarakshan , Prasad M. Deshpande , Raghuram Krishnapuram , Shajeer K. Mohammed
发明人： Rema Ananthanarayanan , Vinatha Chaturvedi , Vijil E. Chenthamarakshan , Prasad M. Deshpande , Raghuram Krishnapuram , Shajeer K. Mohammed
IPC分类号： G06F9/44 , G06F17/30
CPC分类号： G06F9/44 , G06F17/30
摘要： Methods and arrangements for automatically finding the dependency of a software product on other software products or components. From an install image or directory, a signature is found by deriving the same from a directory structure of the software. Further, a directory tree structure is built and an approximate sub-tree matching algorithm is applied to find commonalties across software products.
摘要翻译：自动发现软件产品对其他软件产品或组件的依赖性的方法和安排。从安装映像或目录中，通过从软件的目录结构派生相同的签名。此外，构建了目录树结构，并且应用近似子树匹配算法来在软件产品之间找到共同点。

4. 发明授权

US09129292B2 System and method for example based targeted marketing 有权
标题翻译：基于目标营销的系统和方法
公开(公告)号：US09129292B2
公开(公告)日：2015-09-08
申请号：US12608162
申请日：2009-10-29
申请人： Noel J. Almeida , Jayanta Basak , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan , Karthik Visweswariah
发明人： Noel J. Almeida , Jayanta Basak , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan , Karthik Visweswariah
IPC分类号： G06Q30/00 , G06Q30/02
CPC分类号： G06Q30/02 , G06Q30/0201 , G06Q30/0204
摘要： Embodiments of the invention provide retailers with the ability to employ concept-based marketing using only a few representative examples. Embodiments of the invention take seed examples, utilize the seed examples to provide an expanded list (that can be edited as desired) representative of the concept, and map the expanded list to a final set of customers to be included in a targeted marketing operation.
摘要翻译：本发明的实施例使零售商能够仅使用少数代表性的例子来使用基于概念的营销。本发明的实施例采用种子实例，利用种子示例提供代表概念的扩展列表（可以根据需要进行编辑），并将扩展列表映射到要包括在目标营销操作中的最终客户集合。

5. 发明授权

US09118759B2 Customer service analysis 有权
标题翻译：客户服务分析
公开(公告)号：US09118759B2
公开(公告)日：2015-08-25
申请号：US12855944
申请日：2010-08-13
申请人： Raghuram Krishnapuram , L. Venkata Subramaniam
发明人： Raghuram Krishnapuram , L. Venkata Subramaniam
IPC分类号： H04M3/51
CPC分类号： H04M3/51 , H04M3/5175
摘要： A method, a system and a computer program product for analyzing customer service quality is disclosed. A plurality of customer call service quality parameters is identified using historical data. The plurality of customer call service quality parameters is quantified and correlated. The customer service quality is analyzed using the plurality of customer call service quality parameters. A repository is generated using the historical data of a plurality of customer calls and a set of pre-defined customer call flow templates. A subset of service quality queries is identified using contextual information of the customer call from the repository of service quality queries. The subset of service quality queries is then interspersed in the customer call. The customer service quality is analyzed using responses to the subset of service quality queries.
摘要翻译：公开了一种用于分析客户服务质量的方法，系统和计算机程序产品。使用历史数据来识别多个客户呼叫服务质量参数。多个客户呼叫服务质量参数被量化和相关。使用多个客户呼叫服务质量参数分析客户服务质量。使用多个客户呼叫的历史数据和一组预定义的客户呼叫流模板来生成存储库。使用来自服务质量查询库的客户呼叫的上下文信息来识别服务质量查询的子集。然后将服务质量查询的子集散布在客户呼叫中。使用对服务质量查询子集的响应来分析客户服务质量。

6. 发明申请

US20120150867A1 CLUSTERING A COLLECTION USING AN INVERTED INDEX OF FEATURES 审中-公开
标题翻译：使用反转的特征索引集合收集
公开(公告)号：US20120150867A1
公开(公告)日：2012-06-14
申请号：US12966698
申请日：2010-12-13
申请人： Danish Contractor , Thomas Hampp-Bahnmueller , Sachindra Joshi , Raghuram Krishnapuram , Kenney Ng
发明人： Danish Contractor , Thomas Hampp-Bahnmueller , Sachindra Joshi , Raghuram Krishnapuram , Kenney Ng
IPC分类号： G06F17/30
CPC分类号： G06F17/3071 , G06F17/30598 , G06F17/30622
摘要： Provided are techniques for creating an inverted index for features of a set of data elements, wherein each of the data elements is represented by a vector of features, wherein the inverted index, when queried with a feature, outputs one or more data elements containing the feature. The features of the set of data elements are ranked. For each feature in the ranked list, the inverted index is queried for data elements having the feature and not having any previously selected feature and a cluster of the data elements is created based on results returned in response to the query.
摘要翻译：提供了用于为一组数据元素的特征创建反向索引的技术，其中每个数据元素由特征向量表示，其中当用特征查询时，反向索引输出一个或多个包含特征。该组数据元素的特征被排序。对于排序列表中的每个特征，对具有该特征并且没有任何先前选择的特征的数据元素查询反向索引，并且基于响应于该查询返回的结果来创建数据元素的集群。

7. 发明申请

US20120039460A1 CUSTOMER SERVICE ANALYSIS 有权
标题翻译：客户服务分析
公开(公告)号：US20120039460A1
公开(公告)日：2012-02-16
申请号：US12855944
申请日：2010-08-13
申请人： Raghuram Krishnapuram , L. Venkata Subramaniam
发明人： Raghuram Krishnapuram , L. Venkata Subramaniam
IPC分类号： H04M3/00
CPC分类号： H04M3/51 , H04M3/5175
摘要： A method, a system and a computer program product for analyzing customer service quality is disclosed. A plurality of customer call service quality parameters is identified using historical data. The plurality of customer call service quality parameters is quantified and correlated. The customer service quality is analyzed using the plurality of customer call service quality parameters. A repository is generated using the historical data of a plurality of customer calls and a set of pre-defined customer call flow templates. A subset of service quality queries is identified using contextual information of the customer call from the repository of service quality queries. The subset of service quality queries is then interspersed in the customer call. The customer service quality is analyzed using responses to the subset of service quality queries.
摘要翻译：公开了一种用于分析客户服务质量的方法，系统和计算机程序产品。使用历史数据来识别多个客户呼叫服务质量参数。多个客户呼叫服务质量参数被量化和相关。使用多个客户呼叫服务质量参数分析客户服务质量。使用多个客户呼叫的历史数据和一组预定义的客户呼叫流模板来生成存储库。使用来自服务质量查询库的客户呼叫的上下文信息来识别服务质量查询的子集。然后将服务质量查询的子集散布在客户呼叫中。使用对服务质量查询子集的响应来分析客户服务质量。

8. 发明申请

US20110055811A1 Discovery, Analysis, and Visualization of Dependencies 失效
标题翻译：依赖关系的发现，分析和可视化
公开(公告)号：US20110055811A1
公开(公告)日：2011-03-03
申请号：US12552432
申请日：2009-09-02
申请人： Rema Ananthanarayanan , Vinatha Chaturvedi , Vijil E. Chenthamarakshan , Prasad M. Deshpande , Raghuram Krishnapuram , Shajeer K. Mohammed
发明人： Rema Ananthanarayanan , Vinatha Chaturvedi , Vijil E. Chenthamarakshan , Prasad M. Deshpande , Raghuram Krishnapuram , Shajeer K. Mohammed
IPC分类号： G06F9/44
CPC分类号： G06Q10/06 , G06F8/71 , G06F9/44536
摘要： Product data pertaining to a plurality of products is gathered from a plurality of sources. Dependency information for the plurality of products is extracted from the product data. The dependency information is analyzed to determine dependencies for each product of the plurality of products. The dependencies for each product of the plurality of products are displayed to a user.
摘要翻译：从多个源收集与多个产品有关的产品数据。从产品数据中提取多个产品的依赖关系信息。分析依赖性信息以确定多个产品中的每个产品的依赖性。向用户显示多个产品中的每个产品的依赖性。

9. 发明申请

US20090271720A1 METHOD FOR DERIVING INTELLIGENCE FROM ACTIVITY LOGS 有权
标题翻译：从活动日志中提取智能的方法
公开(公告)号：US20090271720A1
公开(公告)日：2009-10-29
申请号：US12111325
申请日：2008-04-29
申请人： Prasad M. Deshpande , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan
发明人： Prasad M. Deshpande , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan
IPC分类号： G06F17/30 , G06F3/048
CPC分类号： G06F11/3476 , G06F11/3438
摘要： Techniques for segregating one or more logs of at least one multitasking user to derive at least one behavioral pattern of the at least one multitasking user are provided. The techniques include obtaining at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information, correlating the at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information to determine a task associated with each of one or more actions and segregate the one or more logs based on the one or more actions, and using the one or more logs that have been segregated to derive at least one behavioral pattern of the at least one multitasking user. Techniques are also provided for deriving intelligence from at least one activity log of at least one multitasking user to provide information to the at least one user.
摘要翻译：提供了用于隔离至少一个多任务用户的一个或多个日志以导出所述至少一个多任务用户的至少一个行为模式的技术。这些技术包括获得至少一个动作日志，配置信息，域知识，至少一个任务历史和开放任务存储库信息中的至少一个，将至少一个动作日志，配置信息，域知识中的至少一个与至少一个任务历史和开放任务存储库信息，以确定与一个或多个动作中的每一个相关联的任务，并且基于所述一个或多个动作来隔离所述一个或多个日志，并且使用已经被隔离导出的一个或多个日志所述至少一个多任务用户的至少一个行为模式。还提供了用于从至少一个多任务用户的至少一个活动日志导出智能以向至少一个用户提供信息的技术。

10. 发明授权

US06754651B2 Mining of generalized disjunctive association rules 有权
标题翻译：广义分离关联规则挖掘
公开(公告)号：US06754651B2
公开(公告)日：2004-06-22
申请号：US09836118
申请日：2001-04-17
申请人： Amit Anil Nanavati , Krishna Prasad Chitrapura , Sachindra Joshi , Raghuram Krishnapuram
发明人： Amit Anil Nanavati , Krishna Prasad Chitrapura , Sachindra Joshi , Raghuram Krishnapuram
IPC分类号： G06F1730
CPC分类号： G06F17/30539 , G06F17/3061 , Y10S707/954 , Y10S707/961 , Y10S707/99932 , Y10S707/99933 , Y10S707/99943 , Y10S707/99945
摘要： The present invention provides a system and a method for mining a new kind of association rules called disjunctive association rules, where the antecedent or the consequent of a rule may contain disjuncts of terms (XY or X⊕Y). Such rules are a natural generalisation to the kind of rules that have been mined hitherto. Furthermore, disjunctive association rules are generalised in the sense that the algorithm also mines rules which have disjunctions of conjuncts (C(AB)(DE)). Since the number of combinations of disjuncts is explosive, we use clustering to find a generalized subset. The said clustering is preferably performed using agglomerative clustering methods for finding the greedy subset.
摘要翻译：本发明提供了一种用于挖掘称为分离关联规则的新型关联规则的系统和方法，其中规则的先决条件或结果可以包含术语的分离（X Y或X⊕Y）。这样的规则是对迄今为止开采的那种规则的自然概括。此外，分离关联规则在一般意义上是泛化的，即该算法还采用具有联结分离的规则（C （A B）（D E）。由于分离组合的数量是爆炸性的，我们使用聚类来找到广义子集。所述聚类优选使用用于发现贪婪子集的聚集聚类方法进行。

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